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Jeff Clune - Agent AI Needs Darwin

Jeff Clune - Agent AI Needs Darwin



AI professor Jeff Clune ruminates on open-ended evolutionary algorithms—systems designed to generate novel and interesting outcomes forever. Drawing inspiration from nature’s boundless creativity, Cl…


Published on 11 months, 3 weeks ago

Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)



Neel Nanda, a senior research scientist at Google DeepMind, leads their mechanistic interpretability team. In this extensive interview, he discusses his work trying to understand how neural networks …


Published on 1 year ago

Jonas Hübotter (ETH) - Test Time Inference

Jonas Hübotter (ETH) - Test Time Inference



Jonas Hübotter, PhD student at ETH Zurich's Institute for Machine Learning, discusses his groundbreaking research on test-time computation and local learning. He demonstrates how smaller models can o…


Published on 1 year ago

How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)

How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)



Professor Swarat Chaudhuri from the University of Texas at Austin and visiting researcher at Google DeepMind discusses breakthroughs in AI reasoning, theorem proving, and mathematical discovery. Chau…


Published on 1 year, 1 month ago

Nora Belrose - AI Development, Safety, and Meaning

Nora Belrose - AI Development, Safety, and Meaning



Nora Belrose, Head of Interpretability Research at EleutherAI, discusses critical challenges in AI safety and development. The conversation begins with her technical work on concept erasure in neural…


Published on 1 year, 1 month ago

Why Your GPUs are underutilised for AI - CentML CEO Explains

Why Your GPUs are underutilised for AI - CentML CEO Explains



Prof. Gennady Pekhimenko (CEO of CentML, UofT) joins us in this *sponsored episode* to dive deep into AI system optimization and enterprise implementation. From NVIDIA's technical leadership model to…


Published on 1 year, 1 month ago

Eliezer Yudkowsky and Stephen Wolfram on AI X-risk

Eliezer Yudkowsky and Stephen Wolfram on AI X-risk



Eliezer Yudkowsky and Stephen Wolfram discuss artificial intelligence and its potential existen‑

tial risks. They traversed fundamental questions about AI safety, consciousness, computational irreduc…


Published on 1 year, 1 month ago

Pattern Recognition vs True Intelligence - Francois Chollet

Pattern Recognition vs True Intelligence - Francois Chollet



Francois Chollet, a prominent AI expert and creator of ARC-AGI, discusses intelligence, consciousness, and artificial intelligence.


Chollet explains that real intelligence isn't about memorizing inf…


Published on 1 year, 1 month ago

The Elegant Math Behind Machine Learning - Anil Ananthaswamy

The Elegant Math Behind Machine Learning - Anil Ananthaswamy



Anil Ananthaswamy is an award-winning science writer and former staff writer and deputy news editor for the London-based New Scientist magazine.


Machine learning systems are making life-altering de…


Published on 1 year, 1 month ago

Michael Levin - Why Intelligence Isn't Limited To Brains.

Michael Levin - Why Intelligence Isn't Limited To Brains.



Professor Michael Levin explores the revolutionary concept of diverse intelligence, demonstrating how cognitive capabilities extend far beyond traditional brain-based intelligence. Drawing from his g…


Published on 1 year, 2 months ago





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